{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Simple n-dimensional gradient magnitude filter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "medpy_gradient.py resources/b0.nii.gz output/gradient.nii.gz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table>\n",
    "<tr>\n",
    "<td><img alt=\"Intensity image\" src=\"images/b0.png\" width=\"200\" /></td>\n",
    "<td><img alt=\"Gradient magnitude image\" src=\"images/b0gradient.png\" width=\"200\" /></td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>Intensity image</td><td>Gradient magnitude image</td>\n",
    "</tr>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Neat."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Bash",
   "language": "bash",
   "name": "bash"
  },
  "language_info": {
   "codemirror_mode": "shell",
   "file_extension": ".sh",
   "mimetype": "text/x-sh",
   "name": "bash"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
